JP6357718B2 - Abnormal vehicle extraction device, abnormal vehicle extraction method, and program - Google Patents

Description

  The present invention relates to an abnormal vehicle extraction device, an abnormal vehicle extraction method, and a program.

  There is an in-vehicle device that specifies the position of a vehicle based on a detection result of a received signal or an acceleration sensor by a satellite positioning system and acquires a vehicle position on a map corresponding to the position specified based on map information prepared in advance (for example, , See Patent Document 1). In this type of vehicle-mounted device, for example, when it is determined that the vehicle is traveling on a toll road based on the vehicle position on the map, there is a device that charges a toll for the toll road. In some cases, information indicating the vehicle position on the map acquired by the vehicle-mounted device is transmitted to a center server or the like, and traffic information indicating congestion or congestion is generated based on the information received by the center server or the like. As described above, information indicating the vehicle position acquired by the vehicle-mounted device is used for various processes.

JP 2009-115588 A

  However, when the vehicle position acquired by the vehicle-mounted device is altered by some method, processing is performed based on information that is not the actual vehicle position, and an incorrect processing result may be generated.

  The present invention has been made in view of such circumstances, and an object of the present invention is to extract an abnormal vehicle in which information acquired by the vehicle-mounted device may be different from the actual vehicle situation. An abnormal vehicle extraction method and a program are provided.

The abnormal vehicle extraction device (300) according to the present invention is based on vehicle information indicating the position and traveling speed of the vehicle acquired from the vehicle-mounted device (100) mounted on the vehicle (400), in a predetermined target time zone. A traffic state value calculating unit (302) that calculates a traffic state value indicating a traffic state in a predetermined target area, the traffic state value calculated by the traffic state value calculating unit, and the vehicle-mounted device obtained from each vehicle An abnormal vehicle extraction unit (304) that extracts a vehicle in which the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area based on vehicle information , As the traffic state value calculated by the traffic state value calculation unit, the speed in the target area and the density of vehicles in the target area are acquired, and the density of vehicles in the target area is higher than a threshold value. And, if the amount of deviation between the running speed of the vehicle shown speed and the vehicle information of the target area is exceeds a predetermined allowable range, it determined that the running state of the vehicle is abnormal.
With this configuration, it is possible to extract an abnormal vehicle in which the information acquired by the vehicle-mounted device may be different from the actual vehicle state based on the relative relationship with other vehicles traveling on the same road.

Further, with this configuration, a vehicle that does not correspond to the traffic state in the target area, that is, a vehicle that is highly likely to be unable to travel in the target area at the travel speed included in the vehicle information can be extracted as an abnormal vehicle. Therefore, the vehicle information can be falsified to extract a vehicle that appears to be traveling in the target area.

Also, with this configuration, an abnormal vehicle is detected based on a traffic state in a state where the density of vehicles traveling in the target area is higher than a threshold value. In a traffic state where the density of the vehicle is high, a large amount of vehicle information acquired from the vehicle-mounted device can be acquired. Therefore, a traffic state value indicating an average traffic state can be calculated from a plurality of vehicle information. Further, in a traffic state where the density of vehicles is high, it is considered that there is not enough space for traveling at a speed faster than the average speed in the target area because the distance from other vehicles is narrow. For this reason, the speed at which the vehicle can travel in the target area depends on the traffic state and is close to the speed indicated by the traffic state in the target area. Thus, since the abnormal vehicle can be detected based on the traffic state value in a state where the traveling speed of the vehicle traveling in the target area is limited to some extent, the detection accuracy of the abnormal vehicle can be improved.

According to another aspect of the present invention, in the above-described invention, the traveling speed of the vehicle is calculated based on position information of at least two points of the vehicle indicated by the vehicle information acquired from the same vehicle-mounted device at different timings. The vehicle further includes a travel speed calculation unit (303), and the abnormal vehicle extraction unit is a vehicle in which the travel state of the vehicle indicated by the vehicle information travels within the target area based on the travel speed calculated by the travel speed calculation unit. It is determined whether it is abnormal.
With this configuration, the traveling speed of the vehicle can be calculated from the position of the vehicle based on the position of the vehicle included in the vehicle information. When the position of the vehicle included in the vehicle information is falsified, it is highly likely that the traveling speed of the vehicle calculated from the position of the vehicle deviates from the actual traveling speed. Therefore, a vehicle having a high possibility that the position of the vehicle included in the vehicle information is falsified can be extracted as an abnormal vehicle.
Moreover, 1 aspect of this invention is further provided with the alerting | reporting part (37) which alert | reports the vehicle which determined that the said abnormal vehicle extraction part is abnormal in the invention described above.
With this configuration, information on abnormal vehicles is notified to an administrator who manages toll payment for toll roads, a supervisor who monitors traffic conditions based on vehicle information, or a driver of a vehicle determined to be an abnormal vehicle. be able to.
Moreover, one aspect of the present invention further includes a correction unit (307) that generates information for correcting a charging status of a vehicle that is determined to be abnormal by the abnormal vehicle extraction unit in the invention described above. .
With this configuration, information for correcting the charging status to be corrected by the correcting unit is generated, and processing for correcting the charging status can be performed.

Another abnormal vehicle extraction device (300) according to the present invention is based on vehicle information indicating the position and traveling speed of the vehicle acquired from the vehicle-mounted device (100) mounted on the vehicle (400). A traffic state value calculation unit (302) that calculates a traffic state value indicating a traffic state in a predetermined target area in a target time zone, the traffic state value calculated by the traffic state value calculation unit, and an on-vehicle device of each vehicle An abnormal vehicle extraction unit (304) for extracting a vehicle in which the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area, based on the vehicle information acquired from the vehicle information, and in a predetermined target time zone If the density of the vehicle information of a predetermined target area is less than the threshold value, Bei traffic condition estimation unit that estimates a traffic condition of a predetermined target area in a predetermined target time zone and (305), the The traffic state value calculation unit calculates the traffic state value when the density of the vehicle information is equal to or higher than a threshold, and the abnormal vehicle extraction unit is based on the traffic state estimated by the traffic state estimation unit, It is determined whether or not the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area.
With this configuration, when the vehicle information in the predetermined target area in the predetermined target time zone is small, the traffic state of the predetermined target area in the predetermined target time is estimated. Here, when the density of the vehicle information is low, only a small amount of vehicle information can be obtained. Therefore, the traffic state is evaluated based on the biased vehicle information, or the traffic state is accidentally determined according to the state of the vehicle. There is a risk of evaluation. However, when the density of the vehicle information is lower than the threshold value, the traffic state value is estimated based on the estimated traffic state instead of obtaining the traffic state value based on the vehicle information acquired in the target time zone. By calculating the value, an abnormal vehicle can be extracted based on an average traffic state even in a target area where the density of vehicle information is low.

Moreover, 1 aspect of this invention is further provided with the alerting | reporting part (37) which alert | reports the vehicle which determined that the said abnormal vehicle extraction part is abnormal in the invention described above.
With this configuration, information on abnormal vehicles is notified to an administrator who manages toll payment for toll roads, a supervisor who monitors traffic conditions based on vehicle information, or a driver of a vehicle determined to be an abnormal vehicle. be able to.

Moreover, one aspect of the present invention further includes a correction unit (307) that generates information for correcting a charging status of a vehicle that is determined to be abnormal by the abnormal vehicle extraction unit in the invention described above. .
With this configuration, information for correcting the charging status to be corrected by the correcting unit is generated, and processing for correcting the charging status can be performed.

  Moreover, the abnormal vehicle extraction method according to the present invention is based on vehicle information indicating the position and travel speed of the vehicle acquired from the vehicle-mounted device mounted on the vehicle, and traffic in a predetermined target area in a predetermined target time zone. Based on the traffic state value calculating step for calculating the traffic state value indicating the state, the traffic state value calculated in the traffic state value calculating step, and the vehicle information acquired from the vehicle-mounted device of each vehicle, the vehicle information is An abnormal vehicle extraction step for extracting a vehicle in which the traveling state of the vehicle shown is abnormal as a vehicle traveling in the target area, and in the abnormal vehicle extraction step, the traffic calculated in the traffic state value calculating step As the state value, the speed in the target area and the density of the vehicle in the target area are acquired, and the density of the vehicle in the target area is higher than a threshold value. And, if the amount of deviation between the running speed of the vehicle shown speed and the vehicle information of the target area is exceeds a predetermined allowable range, it is determined that the running state of the vehicle is abnormal.
  With this configuration, it is possible to extract an abnormal vehicle in which the information acquired by the vehicle-mounted device may be different from the actual vehicle state based on the relative relationship with other vehicles traveling on the same road. Further, with this configuration, a vehicle that does not correspond to the traffic state in the target area, that is, a vehicle that is highly likely to be unable to travel in the target area at the travel speed included in the vehicle information can be extracted as an abnormal vehicle. Therefore, the vehicle information can be falsified to extract a vehicle that appears to be traveling in the target area. Also, with this configuration, an abnormal vehicle is detected based on a traffic state in a state where the density of vehicles traveling in the target area is higher than a threshold value. In a traffic state where the density of the vehicle is high, a large amount of vehicle information acquired from the vehicle-mounted device can be acquired. Therefore, a traffic state value indicating an average traffic state can be calculated from a plurality of vehicle information. Further, in a traffic state where the density of vehicles is high, it is considered that there is not enough space for traveling at a speed faster than the average speed in the target area because the distance from other vehicles is narrow. For this reason, the speed at which the vehicle can travel in the target area depends on the traffic state and is close to the speed indicated by the traffic state in the target area. Thus, since the abnormal vehicle can be detected based on the traffic state value in a state where the traveling speed of the vehicle traveling in the target area is limited to some extent, the detection accuracy of the abnormal vehicle can be improved.
  In addition, the program according to the present invention allows a computer to execute traffic in a predetermined target area in a predetermined target time zone based on vehicle information indicating the position and traveling speed of the vehicle acquired from an on-vehicle device mounted on the vehicle. A vehicle indicated by the vehicle information based on a traffic state value calculating unit that calculates a traffic state value indicating a state, the traffic state value calculated by the traffic state value calculating unit, and the vehicle information acquired from an on-vehicle device of each vehicle. The abnormal vehicle extraction unit functions as an abnormal vehicle extraction unit that extracts a vehicle in which the traveling state of the vehicle is abnormal as a vehicle traveling in the target area, wherein the abnormal vehicle extraction unit is calculated by the traffic state value calculation unit. As a traffic state value, the speed in the target area and the density of vehicles in the target area are acquired, and the density of vehicles in the target area is higher than a threshold value. And, if the amount of deviation between the running speed of the vehicle shown speed and the vehicle information of the target area is exceeds a predetermined allowable range, a program determines that the running state of the vehicle is abnormal.
  With this configuration, it is possible to extract an abnormal vehicle in which the information acquired by the vehicle-mounted device may be different from the actual vehicle state based on the relative relationship with other vehicles traveling on the same road. Further, with this configuration, a vehicle that does not correspond to the traffic state in the target area, that is, a vehicle that is highly likely to be unable to travel in the target area at the travel speed included in the vehicle information can be extracted as an abnormal vehicle. Therefore, the vehicle information can be falsified to extract a vehicle that appears to be traveling in the target area. Also, with this configuration, an abnormal vehicle is detected based on a traffic state in a state where the density of vehicles traveling in the target area is higher than a threshold value. In a traffic state where the density of the vehicle is high, a large amount of vehicle information acquired from the vehicle-mounted device can be acquired. Therefore, a traffic state value indicating an average traffic state can be calculated from a plurality of vehicle information. Further, in a traffic state where the density of vehicles is high, it is considered that there is not enough space for traveling at a speed faster than the average speed in the target area because the distance from other vehicles is narrow. For this reason, the speed at which the vehicle can travel in the target area depends on the traffic state and is close to the speed indicated by the traffic state in the target area. Thus, since the abnormal vehicle can be detected based on the traffic state value in a state where the traveling speed of the vehicle traveling in the target area is limited to some extent, the detection accuracy of the abnormal vehicle can be improved.

Moreover, the abnormal vehicle extraction method according to the present invention is based on vehicle information indicating the position and travel speed of the vehicle acquired from the vehicle-mounted device mounted on the vehicle, and traffic in a predetermined target area in a predetermined target time zone. Based on the traffic state value calculating step for calculating the traffic state value indicating the state, the traffic state value calculated in the traffic state value calculating step, and the vehicle information acquired from the vehicle-mounted device of each vehicle, the vehicle information is An abnormal vehicle extraction step of extracting a vehicle in which the traveling state of the vehicle indicated is abnormal as a vehicle traveling in the target area, and the density of the vehicle information in the predetermined target area in a predetermined target time zone is less than a threshold value. A traffic state estimating step for estimating a traffic state in a predetermined target area in a predetermined target time zone, and the traffic state value calculating step When the density of the vehicle information is greater than or equal to a threshold, the traffic state value is calculated, and in the abnormal vehicle extraction step, the vehicle information indicated by the vehicle information is based on the traffic state estimated in the traffic state estimation step. It is determined whether or not the traveling state is abnormal as a vehicle traveling in the target area .
With this configuration, it is possible to extract an abnormal vehicle in which the information acquired by the vehicle-mounted device may be different from the actual vehicle state based on the relative relationship with other vehicles traveling on the same road. Further, according to this configuration, when the vehicle information in the predetermined target area in the predetermined target time zone is small, the traffic state of the predetermined target area in the predetermined target time is estimated. Here, when the density of the vehicle information is low, only a small amount of vehicle information can be obtained. Therefore, the traffic state is evaluated based on the biased vehicle information, or the traffic state is accidentally determined according to the state of the vehicle. There is a risk of evaluation. However, when the density of the vehicle information is lower than the threshold value, the traffic state value is estimated based on the estimated traffic state instead of obtaining the traffic state value based on the vehicle information acquired in the target time zone. By calculating the value, an abnormal vehicle can be extracted based on an average traffic state even in a target area where the density of vehicle information is low.

In addition, the program according to the present invention allows a computer to execute traffic in a predetermined target area in a predetermined target time zone based on vehicle information indicating the position and traveling speed of the vehicle acquired from an on-vehicle device mounted on the vehicle. A vehicle indicated by the vehicle information based on a traffic state value calculating unit that calculates a traffic state value indicating a state, the traffic state value calculated by the traffic state value calculating unit, and the vehicle information acquired from an on-vehicle device of each vehicle. When the density of the vehicle information in the predetermined target area in a predetermined target time zone is less than a threshold , the abnormal vehicle extraction means for extracting a vehicle whose driving state is abnormal as a vehicle traveling in the target area, A program for functioning as a traffic state estimating means for estimating a traffic state in a predetermined target area in a predetermined target time zone, wherein the traffic state value calculating means Calculates the traffic state value when the density of the vehicle information is greater than or equal to a threshold value, and the abnormal vehicle extraction unit is configured to determine whether the vehicle information indicated by the vehicle information is based on the traffic state estimated by the traffic state estimation unit. It is a program for determining whether or not the traveling state is abnormal as a vehicle traveling in the target area .
With this configuration, it is possible to extract an abnormal vehicle in which the information acquired by the vehicle-mounted device may be different from the actual vehicle state based on the relative relationship with other vehicles traveling on the same road. Further, according to this configuration, when the vehicle information in the predetermined target area in the predetermined target time zone is small, the traffic state of the predetermined target area in the predetermined target time is estimated. Here, when the density of the vehicle information is low, only a small amount of vehicle information can be obtained. Therefore, the traffic state is evaluated based on the biased vehicle information, or the traffic state is accidentally determined according to the state of the vehicle. There is a risk of evaluation. However, when the density of the vehicle information is lower than the threshold value, the traffic state value is estimated based on the estimated traffic state instead of obtaining the traffic state value based on the vehicle information acquired in the target time zone. By calculating the value, an abnormal vehicle can be extracted based on an average traffic state even in a target area where the density of vehicle information is low.

  According to this invention, it is possible to detect a vehicle in which the vehicle position acquired by the vehicle-mounted device may be different from the actual vehicle position.

It is a schematic diagram showing an example of abnormal vehicle extraction system 1 concerning one embodiment of the present invention. It is a figure which shows the one part road included in map information. It is a figure which shows distribution of the vehicle information acquired in the road shown in FIG. It is a figure which shows an example of distribution of the vehicle in the object area in predetermined time. It is a figure which shows the driving | running | working position and driving speed on the map of the vehicle 400 based on five vehicle information S11-S15 which the vehicle 400 acquired. 3 is a block diagram illustrating a configuration example of the in-vehicle device 100. FIG. 3 is a block diagram illustrating a configuration example of an abnormal vehicle extraction device 300. FIG. It is a flowchart for demonstrating an example of the process by the onboard equipment 100. FIG. 5 is a flowchart for explaining an example of overall processing by the abnormal vehicle extraction device 300; It is a flowchart for demonstrating an example of an abnormal vehicle extraction process.

[First Embodiment]
Hereinafter, an example of the abnormal vehicle extraction system 1 according to an embodiment of the present invention will be described. FIG. 1 is a schematic diagram illustrating an example of an abnormal vehicle extraction system 1 according to an embodiment of the present invention.

(overall structure)
As shown in FIG. 1, the abnormal vehicle extraction system 1 includes an in-vehicle device 100, a roadside device 200, and an abnormal vehicle extraction device 300.
The vehicle-mounted device 100 is mounted on the vehicle 400, generates vehicle information and the like, and transmits it to the roadside device 200. The vehicle information includes information indicating the position of the vehicle 400 and information indicating the traveling speed of the vehicle 400.
In addition, although illustration is abbreviate | omitted, the roadside apparatus 200 receives vehicle information etc. from the onboard equipment 100 of the some vehicle 400 to pass, and transmits to the abnormal vehicle extraction apparatus 300. Therefore, vehicle information and the like from the plurality of vehicle-mounted devices 100 are transmitted to the abnormal vehicle extraction device 300.

  The roadside device 200 is provided on a predetermined roadside such as an intersection. The roadside device 200 is connected to a roadside antenna 201 provided on the roadside, and communicates with the vehicle-mounted device 100 in the communication area via the roadside antenna 201. The roadside device 200 requests the vehicle-mounted device 100 capable of communication to transmit vehicle information and receives vehicle information and the like from the vehicle-mounted device 100. Here, the vehicle-mounted device 100 transmits all the vehicle information and the like generated after the previous communication with the roadside device 200 to the roadside device 200.

  The abnormal vehicle extraction device 300 receives vehicle information from roadside devices 200 provided in various places, and extracts a vehicle 400 whose running state is abnormal based on the received vehicle information. In the present embodiment, the abnormal vehicle extraction device 300 calculates a traffic state value indicating a traffic state in a predetermined target area in a predetermined target time zone. The abnormal vehicle extraction device 300 extracts an abnormal vehicle in which the traveling state of the vehicle 400 indicated by the vehicle information is abnormal as the vehicle 400 traveling in the target area based on the calculated traffic state value.

  The abnormal vehicle extraction device 300 extracts the abnormal vehicle, falsifies the position information of the vehicle included in the vehicle information, the position information of the vehicle used for the billing process, etc. by some method, and travels on a general road. In this way, it is possible to extract a fraudulent vehicle trying to avoid paying the toll road charge. In addition, the abnormal vehicle extraction device 300 falsifies the travel date and time of the vehicle included in the vehicle information by some method to make it appear that the vehicle has traveled in a time zone during which the toll road charging fee is reduced or exempted. An unauthorized vehicle to be extracted can be extracted. In addition, when the position information of the vehicle is altered by some method, the map information registered in the vehicle-mounted device 100 is not updated, and it is erroneously determined to be the most likely road among the map information. Cases are also included.

(About map information)
Here, with reference to FIG. 2, the map information for acquiring the position on the map of the vehicle 400 in the vehicle-mounted device 100 will be described. FIG. 2 is a diagram illustrating some roads included in the map information.
As shown in FIG. 2, node IDs and link IDs are assigned to roads on the map. The node ID is identification information indicating a predetermined position (node) on the road. The link ID is identification information indicating a road area (link) sandwiched between two nodes. Node IDs = N1 to N14 and link IDs = L1 to 11 are assigned to the roads shown in the figure.
The roads of links L2 to L4 are toll roads, and the other roads are general roads.
In the present embodiment, the target area is at least one link, and the link included in the target area is determined in advance. The target area may include a plurality of links (for example, links L2 to L4).

(Relationship between processing of abnormal vehicle extraction device 300 and traffic state)
Here, the density of the vehicle information acquired on the road shown in FIG. 2 will be described with reference to FIG. FIG. 3 is a diagram showing a distribution of vehicle information acquired on the road shown in FIG.
FIG. 3 shows the map position of the vehicle that has traveled on the road shown in FIG. 2 based on the vehicle information acquired in the target time zone (for example, ** month * day 13: 00 to 13: 10). Note that FIG. 3 includes a plurality of map positions of the same vehicle acquired in the target time zone. That is, FIG. 3 shows a state in which all vehicle information generated in the target time zone is arranged based on the map position.

  As illustrated, the links L1, L6 to L8, and L5 have high vehicle information density, and the links L9 to L11 have low vehicle information density. In addition, the density of the vehicle information in link L2-L4 is lower than link L1, L6-L8, L5, and higher than link L9-L11. If the density of the vehicle information is about links L2 to L4, it can be considered that the traveling speed of the vehicle traveling on the road is limited to some extent from the traffic state of the vehicle traveling on the road. On the other hand, if the density of the vehicle information is about links L9 to L11, it is considered that the traveling speed of the vehicle is not limited based on the traffic state of the vehicle traveling on the road.

  Therefore, when the density of the vehicle information is equal to or higher than the threshold, the abnormal vehicle extraction device 300 obtains the traffic state of the target area in the target time zone based on the vehicle information acquired from the vehicle-mounted device 100. On the other hand, when the density of the vehicle information is less than the threshold, the abnormal vehicle extraction device 300 estimates the traffic state in a direction other than the method based on the vehicle information from the vehicle 400 that traveled in the target area in the target time zone. For example, the abnormal vehicle extraction device 300 obtains the traffic state of the target area in the target time zone simulated by the simulator based on the conditions when the vehicle information is acquired. Also, the abnormal vehicle extraction device 300 may obtain an average traffic state based on vehicle information generated in the past from the target time zone.

  Even if the density of the vehicle information is equal to or higher than the threshold, if the travel speed of the vehicle 400 included in the vehicle information varies, an accurate traffic state may not be reproduced based on the vehicle information. Therefore, when the density of the calculated vehicle information is greater than or equal to the threshold, the abnormal vehicle extraction device 300 calculates a speed variance value based on the travel speed information included in the vehicle information. When the variance value is equal to or greater than a predetermined threshold, the abnormal vehicle extraction device 300 estimates the calculation of the traffic state value of the target area. On the other hand, when the variance value is less than a predetermined threshold, the abnormal vehicle extraction device 300 calculates the traffic state value of the target area based on the vehicle information.

  In the example illustrated in FIG. 3, the abnormal vehicle extraction device 300 obtains the traffic state of the links L1 to L8 in the target area in the target time zone based on the vehicle information acquired from the vehicle-mounted device 100. On the other hand, the abnormal vehicle extraction device 300 estimates the traffic state of the links L9 to L11 in the target area in the target time zone using a simulator.

  In the present embodiment, the traffic state value indicating the traffic state in the target area in the target time zone includes information indicating the distribution of the traveling speed of the vehicle 400 existing in the target area in the target time zone. The traffic state value includes information indicating the density of the vehicles 400 in the target area and the average speed in the target area. For example, the traffic state value is such that 80% of the vehicles 400 existing in the target area (link L1) travel in the range of 35 ± 10 km / h in the target time zone (○ month ○ day 13: 00 to 13: 10). Information or the like.

(About abnormal vehicles)
Here, an example of the abnormal vehicle will be described with reference to FIG. FIG. 4 is a diagram illustrating an example of the distribution of vehicles in the target area at a predetermined time. FIG. 4 is different from FIG. 3 in that, for example, a moment included in the target time zone is cut out and the vehicle distribution in the reproduced traffic state is shown. FIG. 4A shows a state where the density of vehicles in the target area is 75%. FIG. 4B shows a state where the density of vehicles in the target area is 25%. In the illustrated example, the target area is a straight road with a road length of 30 m, and the number of lanes is two.
The example shown in FIG. 4A shows a state in which nine vehicles are traveling at a speed of 29 to 31 km / h.
In the example shown in FIG. 4B, two vehicles are traveling at a speed of 20 km / h, and one vehicle is traveling at 50 km / h.

The density of the vehicle in the target area is obtained by the following formula (1).
Vehicle density = (number of vehicles × vehicle length) / (road length × number of lanes) (1)
The vehicle length is an average length in the longitudinal direction of the vehicle and can be arbitrarily set.
When the state of FIG. 4A is applied to the right side of the equation (1), the density of the vehicle is calculated as follows.
(9 cars x 5m) / (30m x 2) = 0.75
If the state of FIG.4 (b) is applied to the right side of Formula (1), the density of a vehicle will be calculated as follows.
(3 units x 5m) / (30m x 2) = 0.25
In this manner, the abnormal vehicle extraction device 300 obtains that the density of the vehicle in the state shown in FIG. 4A is 75% and the density of the vehicle in the state shown in FIG. 4B is 25%. be able to.

The average speed in the target area is obtained by the following formula (2).
Average speed in the target area = (total running speed of vehicles in the target area) / (number of vehicles) (2)
When the state of FIG. 4A is applied to the right side of Expression (2), the average speed in the target area is calculated as follows.
(31 + 30 + 31 + 30 + 30 + 30 + 29 + 30 + 29) / (9 units)
= 30 km / h
When the state of FIG. 4B is applied to the right side of Expression (2), the average speed in the target area is calculated as follows.
(20 + 20 + 50) / (9 units)
= 30 km / h
In this way, the abnormal vehicle extraction device 300 can determine that the average speeds in the target area in the state shown in FIGS. 4A and 4B are both 30 km / h.

As shown in FIG. 4 (a), in the state where the density of the vehicles is high, when vehicles traveling at a traveling speed (for example, 50 km / h) far from the average speed (30 km / h) in the target area are mixed, It is considered that the vehicle does not correspond to the traffic state in the target area, that is, there is a high possibility that the vehicle cannot travel in the target area at a speed corresponding to the traffic state. Therefore, the abnormal vehicle extraction device 300 extracts a vehicle having a traveling speed of 50 km / in the state shown in FIG. 4A as an abnormal vehicle traveling in the target area.
On the other hand, as shown in FIG. 4B, in the state where the density of the vehicle is low, the average speed in the target area is the same 30 km / h, but even if vehicles with a traveling speed of 50 km / are mixed, this vehicle Does not correspond to the traffic state, that is, it cannot be said that there is a high possibility that the vehicle cannot travel in the target area at a speed corresponding to the traffic state. This is because, as in the state shown in FIG. 4B, when the vehicle density (25%) is low, a sufficient space for traveling at a speed higher than the average speed in the target area is secured. Therefore, the state where it can be determined that the vehicle traveling at a traveling speed far from the average speed in the target area is abnormal is limited to the case where the density of the vehicle is higher than a predetermined value as in the state shown in FIG. It is done.

  Also, even in the state shown in FIG. 4B, when the traveling speed of the vehicle 400 is outside the range of traveling speed traveling on a normal road, for example, 200 km / h, the abnormal vehicle extracting device 300 is The vehicle 400 having a speed of 200 km / is extracted as an abnormal vehicle traveling in the target area.

  Further, the abnormal vehicle extraction device 300 extracts an abnormal vehicle when the amount of change in the time series of the traveling speed of the vehicle 400 is equal to or greater than the threshold or when the amount of change varies. A specific example will be described with reference to FIG. FIG. 5 is a diagram illustrating a travel position and a travel speed on the map of the vehicle 400 based on the five pieces of vehicle information S11 to S15 acquired by the vehicle 400. The vehicle information S11 to S15 is assumed to be vehicle information generated every second, for example. In the illustrated example, it is assumed that the map positions of the vehicle information S12 to S14 are falsified.

  As illustrated, the vehicle information S11 to S15 includes information indicating that the traveling speed is 31 km / h. The vehicle information S11 to S15 includes information indicating that the map positions are P11 to P15, respectively. The abnormal vehicle extraction device 300 calculates the traveling speed of the vehicle 400 between the points based on the distance between the points and the travel time based on the map positions P11 to P15. When the abnormal vehicle extraction device 300 calculates the traveling speed between P11 and P12 and between P14 and P15, it is assumed that they are 70 km / h, respectively. On the other hand, it is assumed that the traveling speeds between P12 and P13 and between P13 and P14 are 31 km / h, respectively. As described above, when there is variation in the time series of the traveling speed of the vehicle 400, the abnormal vehicle extraction device 300 extracts the vehicle 400 as an abnormal vehicle. In addition, the abnormal vehicle extraction device 300 determines that the amount of change in the time series of the traveling speed of the vehicle 400 is equal to or greater than a predetermined threshold in such a state, and extracts the vehicle 400 as an abnormal vehicle. Also good. Then, the abnormal vehicle extraction device 300 can determine that the travel speed between P11 and P12 and between P14 and P15 is abnormal by comparing with the travel speed information included in the vehicle information. In this case, the abnormal vehicle extraction device 300 can find the vehicle information S12 to S14 with a high possibility that the map position has been falsified.

(Configuration of the vehicle-mounted device 100)
Next, a configuration example of the vehicle-mounted device 100 will be described with reference to FIG. FIG. 6 is a block diagram illustrating a configuration example of the vehicle-mounted device 100.
The vehicle-mounted device 100 includes a communication unit 11, a clock 12, a position information acquisition unit 13, a vehicle state detection unit 14, a CPU 15, a storage unit 16, and a reader / writer 17.
The communication unit 11 performs short-range communication with the roadside device 200, for example. The communication part 11 is not restricted to this, For example, you may communicate with the roadside apparatus 200 via the internet.
The clock 12 measures the current date and time, and outputs information indicating the current date and time (hereinafter referred to as current date and time information) to the CPU 15.
The position information acquisition unit 13 acquires position information indicating the current position of the vehicle 400 using, for example, a satellite positioning system, and outputs the position information to the CPU 15.

  The vehicle state detection unit 14 is a detection unit that detects a change in the state of the vehicle 400. The vehicle state detection unit 14 includes, for example, a sensor that detects the engine speed, and outputs information indicating the engine speed of the vehicle 400. The vehicle state detection unit 14 may include an acceleration sensor, a geomagnetic sensor, and the like, and may output information indicating the traveling direction of the vehicle 400 (hereinafter referred to as azimuth information).

  The CPU 15 is a control unit that comprehensively controls the vehicle-mounted device 100. The CPU 15 includes a map matching processing unit 101, a speed information calculation unit 102, a vehicle information generation unit 103, a vehicle information output unit 104, and a billing processing unit 105.

The storage unit 16 stores map information 121, vehicle information 122, and billing condition information 123.
The map information 121 is information that associates each point on the map with the latitude and longitude, and is general information that is used when the position on the map is specified from the latitude and longitude in the map matching process.
The vehicle information 122 is vehicle information generated by the vehicle information generation unit 103 and is temporarily stored until it is transmitted to the roadside device 200.
The charging condition information 123 is information in which the position of a charging area such as a toll road is associated with the charging fee in the charging area, and is used when calculating the charging fee calculated from the position on the map of the vehicle 400 in the charging process. General information used.

  The reader / writer 17 reads and writes the amount information with respect to the charge card 500 charged with a predetermined amount. The reader / writer 17 reads information indicating the amount charged from the charge card 500 in the charging process by the charging processing unit 105, and writes information indicating that the charging fee has been paid to the charge card 500 from the read amount. .

  The map matching processing unit 101 refers to the map information 121 and identifies the position of the vehicle 400 on the map based on the position information input from the position information acquisition unit 13. The map matching processing unit 101 outputs information (hereinafter referred to as map position information) indicating the position of the specified vehicle 400 on the map (hereinafter referred to as map position) to the vehicle information generation unit 103. The map matching processing unit 101 may specify the position of the vehicle 400 on the map based on the direction information detected by the vehicle state detection unit 14.

  The speed information calculation unit 102 acquires the travel speed of the vehicle 400 based on the detection result of the vehicle state detection unit 14 and uses the vehicle information generation unit to display the acquired travel speed information of the vehicle 400 (hereinafter referred to as travel speed information). To 103. For example, based on the output from the sensor that detects the engine speed among the sensors included in the vehicle state detection unit 14, the speed information calculation unit 102 determines the traveling speed of the vehicle 400 corresponding to the detected engine speed. calculate.

The vehicle information generation unit 103 generates vehicle information generation timing based on map position information input from the map matching processing unit 101, travel speed information input from the speed information calculation unit 102, and current date information input from the clock 12. Vehicle information indicating the map position, travel speed, and travel date and time of the vehicle 400 is generated. The generation timing of the vehicle information is determined, for example, after elapse of a predetermined time or after traveling for a predetermined distance from when the previous vehicle information was generated. In the former case, if the vehicle information generation unit 103 determines that a predetermined time has elapsed since the previous generation of vehicle information based on information input from the clock 12, the map position and the traveling speed of the vehicle 400 at the time of determination are determined. And vehicle information indicating the travel date and time is generated. In the latter case, the vehicle information generation unit 103 determines, based on the information input from the speed information calculation unit 102, that the vehicle 400 has traveled a predetermined distance from the map position when the previous vehicle information was generated. Vehicle information indicating the map position, travel speed, and travel date and time of the vehicle 400 at the time is generated. The vehicle information generation unit 103 outputs the generated vehicle information to the vehicle information output unit 104 and the billing processing unit 105, respectively.
The vehicle information generation unit 103 generates vehicle information including unique identification information assigned to the vehicle-mounted device 100. Moreover, the vehicle information generation part 103 may produce | generate the information which shows the map position obtained by the map matching process part 101 by link ID or node ID as map position information.

  The vehicle information output unit 104 outputs the vehicle information generated by the vehicle information generation unit 103 to the roadside device 200 via the communication unit 11. In addition, the vehicle information output unit 104 outputs information indicating the result of the charging process by the charging processing unit 105 (hereinafter referred to as charging information) to the roadside device 200 via the communication unit 11.

  The charging processing unit 105 refers to the charging condition information 123 and executes the charging process based on the vehicle information input from the vehicle information generating unit 103. Specifically, the billing processing unit 105 calculates a billing fee charged to the vehicle 400 when the map position of the vehicle 400 is within the billing area to be billed. The charging processing unit 105 subtracts the calculated charging fee from the charge amount charged in the charge card 500 via the reader / writer 17. The charging processing unit 105 outputs charging information indicating the result of the executed charging process to the vehicle information output unit 104. Based on the output from the clock 12, the charging processing unit 105 includes information indicating the charging date and time when the charging process is executed in the charging information.

(Configuration of Abnormal Vehicle Extraction Device 300)
Next, a configuration example of the abnormal vehicle extraction device 300 will be described with reference to FIG. FIG. 7 is a block diagram illustrating a configuration example of the abnormal vehicle extraction device 300.
The abnormal vehicle extraction device 300 includes a communication unit 31, a registration unit 32, a vehicle information DB (Data Base) 33, an estimation information DB (Data Base) 34, a charging information DB 35, a CPU 36, a notification unit 37, Is provided.
For example, the communication unit 31 receives vehicle information and billing information from the roadside device 200 via the Internet. The communication unit 31 outputs the received information to the registration unit 32. The communication unit 31 may output the notification information input from the notification unit 37 to an external notification device (not shown).
The registration unit 32 writes the map position, the traveling speed, and the traveling date and time in association with each vehicle-mounted device 100 based on the vehicle information input from the communication unit 31 in the vehicle information DB 33. Further, the registration unit 32 writes the charging fee and the charging date and time in association with the charging information DB 35 for each vehicle-mounted device 100 based on the charging information input from the communication unit 31.

The vehicle information DB 33 stores, for example, information in which map information, travel speed, and travel date / time are associated with unique identification information for identifying each on-vehicle device 100 (hereinafter referred to as on-vehicle device ID).
Information for estimating the traffic state is stored in the estimation information DB 34. The estimation information DB 34 stores, for example, information for simulating a traffic state according to conditions, information for obtaining an average traffic state based on past vehicle information, and the like.
In the charging information DB 35, for example, information in which the charging fee and the charging date and time are associated with the vehicle-mounted device ID is stored.

  The CPU 36 includes a determination unit 301, a traffic state value calculation unit 302, a traveling speed calculation unit 303, an abnormal vehicle extraction unit 304, a traffic state estimation unit 305, a learning unit 306, and a correction unit 307.

The determination unit 301 determines which one of the traffic state value calculation unit 302 and the traffic state estimation unit 305 is selected as an object for instructing calculation of the traffic state. The determination unit 301 calculates the density of the vehicle information in the target area based on the vehicle information stored in the vehicle information DB 33, and determines whether the calculated density of the vehicle information is greater than or equal to a predetermined threshold. To do. For example, the determination unit 301 calculates the density of the vehicle information in accordance with the following expression (3).
Density of vehicle information = (sum of vehicle information in the target area in the target time zone) / (road length × number of lanes) (3)
Note that the sum of vehicle information in the target area in the target time zone is vehicle information in which the travel time included in the vehicle information is included in the target time zone and the map position included in the vehicle information is included in the target area. Is the number of

When the calculated density of the vehicle information is less than the threshold value, the determination unit 301 instructs the traffic state estimation unit 305 to calculate the traffic state of the target area. On the other hand, when the calculated density of the vehicle information is greater than or equal to the threshold, the determination unit 301 calculates a speed variance value based on the travel speed information included in the vehicle information. When the variance value is greater than or equal to a predetermined threshold value, the determination unit 301 instructs the traffic state estimation unit 305 to calculate the traffic state of the target area. On the other hand, when the variance value is less than a predetermined threshold, the determination unit 301 instructs the traffic state value calculation unit 302 to calculate the traffic state of the target area.
Note that the determination unit 301 may execute the determination process at predetermined time intervals, or may be executed when the operator instructs the start of the determination process via an operation unit (not shown).

  When the determination unit 301 instructs the traffic state value calculation unit 302 to calculate the traffic state value, the traffic state value calculation unit 302 is based on the vehicle information stored in the vehicle information DB 33 and the traffic state in the predetermined target area in the predetermined target time zone. The traffic state value indicating is calculated. The traffic state value calculation unit 302 calculates the density of vehicles in the target area by substituting information indicated by the vehicle information and the like into the equation (1) as the traffic state value. In addition, the traffic state value calculation unit 302 calculates the average speed in the target area by substituting information indicated by the vehicle information or the like into the equation (2) as the traffic state value. In addition, the traffic state value calculation unit 302 may extract only vehicles having a traveling speed included in a predetermined range before and after the average speed in the target area as a reference, and calculate the density of the vehicles in the target area. .

  The speed in the target area calculated by the traffic state value calculation unit 302 is not limited to the average value of the traveling speeds of the vehicles in the target area, and may be any speed corresponding to the flow of the vehicles in the target area. For example, the traffic state value calculation unit 302 may obtain a speed corresponding to the flow of the vehicle in the target area based on a variance value based on a legal speed determined in advance in the target area. In addition, the traffic state value calculation unit 302 uses the vehicle information acquired by the vehicle-mounted device 100 whose traveling speed has rapidly changed based on the vehicle information generated from the same vehicle-mounted device 100 at different timings as the speed in the target area. You may make it exclude from the object at the time of calculating. Thereby, since the vehicle information of the vehicle 400 whose speed has changed temporarily is not included, a more accurate traffic state value can be obtained.

  Based on the vehicle information stored in the vehicle information DB 33, the travel speed calculation unit 303 calculates the travel speed between two points of the vehicle based on the position of the same vehicle indicated by the vehicle information. The traveling speed calculation unit 303 calculates the traveling speed as described with reference to FIG.

  The abnormal vehicle extraction unit 304 detects a vehicle in which the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area based on the traffic state value calculated by the traffic state value calculating unit 302 or the traffic state estimating unit 305. Extract. The abnormal vehicle extraction unit 304 calculates the traveling speed as described with reference to FIGS.

  When the determination unit 301 instructs the traffic state estimation unit 305 to calculate the traffic state value, the traffic state estimation unit 305 calculates the traffic state in the predetermined target area in the predetermined target time zone based on the estimation information stored in the estimation information DB 34. Estimate the traffic state value shown. The traffic state estimation unit 305 may obtain an average value of the traffic state in a predetermined target area in a predetermined target time zone based on the past vehicle information, and use it as the traffic state value. In addition, the traffic state estimation unit 305 uses a simulator to simulate the traffic state that travels in the target area based on the current conditions, thereby indicating the traffic state in the predetermined target area in the predetermined target time zone. A value may be calculated.

  The learning unit 306 learns the estimation information DB 34 according to the processing result by the abnormal vehicle extraction unit 304. More specifically, when an abnormal vehicle is detected, the learning unit 306 learns the estimated information in the estimated information DB 34 based on the vehicle information DB 33 except for the vehicle information corresponding to the detected abnormal vehicle. When no abnormal vehicle is detected, the learning unit 306 learns the estimated information in the estimated information DB 34 based on the vehicle information DB 33.

  The correcting unit 307 generates information for correcting the charging status for the abnormal vehicle extracted by the abnormal vehicle extracting unit 304. For example, the correction unit 307 generates information for correcting the billing information stored in the billing information DB 35. Further, the present invention is not limited to this, and the correction unit 307 generates information for correcting the charging information of the server that manages the charging processing provided outside, and transmits the information to the server via the communication unit 31. Also good.

  In addition, when the abnormal vehicle extraction device 300 finds a vehicle with a high possibility that the map position has been falsified from among the abnormal vehicles, the correction unit 307 actually selects a vehicle with a high possibility that the map position has been falsified. Find the map position that you have most likely traveled. For example, on the road as shown in FIG. 2, the vehicle information acquired from the vehicle 400 includes map position information indicating that the links L6 to L8 have been passed, but the traveling state of the links L6 to L8 is abnormal. It is determined that there is a vehicle that has been extracted as an abnormal vehicle. In this case, the correcting unit 307 determines whether there is a branch path other than the link L6. In the illustrated example, since the links L2 to L4 are branched from the link L1, the correcting unit 307 determines that there is a branch path other than the link L6, and the vehicle 400 is determined based on the traffic state values of the links L2 to L4. It is determined whether or not the traffic state of the links L2 to L4 is supported. When it is determined that the vehicle 400 corresponds to the traffic state of the links L2 to L4, information corresponding to the links L2 to L4 is acquired as a map position where the vehicle 400 is likely to actually travel. As a result, the correction unit 307 displays information indicating that the vehicle 400 needs to be charged because the vehicle 400 is likely to travel on the links L2 to L4 that are actually toll roads. Write to. The correction unit 307 may notify the notification unit 37 that it is necessary to execute the billing process.

  When the abnormal vehicle is extracted by the abnormal vehicle extraction unit 304, the notification unit 37 notifies that the extracted vehicle is an abnormal vehicle. The notification unit 37 may be a display, a speaker, or the like that outputs notification information, and may output the notification information to the vehicle-mounted device 100 or an external notification device via the communication unit 31.

(Example of processing by onboard equipment)
Next, an example of processing by the vehicle-mounted device 100 will be described with reference to FIG. FIG. 8 is a flowchart for explaining an example of processing by the vehicle-mounted device 100. First, when the vehicle 400 is turned on, the vehicle-mounted device 100 is also turned on.

(Step ST101)
When the vehicle-mounted device 100 is turned on, the vehicle information generation unit 103 determines whether or not the vehicle information generation timing has been reached. For example, the vehicle information generation unit 103 determines whether a predetermined time has elapsed since the previous vehicle information was generated or whether the vehicle has traveled a predetermined distance.
(Step ST102)
When it is determined that the vehicle information generation timing has been reached (step ST101: YES), the vehicle information generation unit 103 instructs the map matching processing unit 101 to acquire a map position by map matching processing. The map matching processing unit 101 acquires the current position on the map of the vehicle 400 based on the information output from the position information acquisition unit 13, for example, according to the instruction of the vehicle information generation unit 103, and uses the map position information as the vehicle information generation unit. To 103.
(Step ST103)
In addition, the vehicle information generation unit 103 instructs the speed information calculation unit 102 to acquire the traveling speed. The speed information calculation unit 102 acquires the current traveling speed of the vehicle 400 based on the engine speed output from the vehicle state detection unit 14 in accordance with an instruction from the vehicle information generation unit 103, and obtains the traveling speed information as the vehicle information generation unit. To 103.
(Step ST104)
The vehicle information generation unit 103 generates vehicle information based on the map position information input from the map matching processing unit 101 and the traveling speed information input from the speed information calculation unit 102. The vehicle information generation unit 103 outputs the generated vehicle information to the vehicle information output unit 104 and the billing processing unit 105.

(Step ST105)
When the vehicle information is input from the vehicle information generation unit 103, the charging processing unit 105 refers to the charging condition information 123 and determines whether the map position of the vehicle 400 is within the charging area to be charged based on the input vehicle information. Determine whether or not.
(Step ST106)
When it is determined that the map position of the vehicle 400 is within the charging area (step ST105: YES), the charging processing unit 105 charges the vehicle 400 based on the vehicle information input from the vehicle information generating unit 103. And the calculated charging fee is subtracted from the charge amount charged in the charge card 500 via the reader / writer 17. The charging processing unit 105 outputs charging information indicating the result of the executed charging process to the vehicle information output unit 104 and writes it in the charging condition information 123.

(Step ST107)
Next, the vehicle information output unit 104 determines whether or not the output timing for outputting the vehicle information has been reached.
(Step ST108)
When it is determined that the vehicle information output timing has been reached (step ST107: YES), the vehicle information output unit 104 receives the vehicle information input from the vehicle information generation unit 103 and the vehicle information 122 read from the storage unit 16. Then, the data is output to an external device designated in advance via the communication unit 11.
(Step ST109)
On the other hand, when it is not determined that the vehicle information output timing has been reached (step ST107: NO), the vehicle information output unit 104 writes the vehicle information input from the vehicle information generation unit 103 in the vehicle information 122 of the storage unit 16. .

(Example of overall process of abnormal vehicle extraction device 300)
Next, an example of the entire process performed by the abnormal vehicle extraction device 300 will be described with reference to FIG. FIG. 9 is a flowchart for explaining an example of the entire process performed by the abnormal vehicle extraction device 300. The abnormal vehicle extraction device 300 sequentially designates a target time zone and a target area, and executes the following process for each target area in the target time zone.
(Step ST201)
The determination unit 301 determines whether or not to estimate the traffic state when the target time zone and the target area are designated. In other words, the determination unit 301 determines which of the traffic state value calculation unit 302 and the traffic state estimation unit 305 is to be selected as a target for instructing the calculation of the traffic state value. In the present embodiment, the determination unit 301 reads vehicle information corresponding to the specified target time zone and target area from the vehicle information DB 33, and calculates the density of the vehicle information in the target area of the specified target time zone. For example, it is assumed that the link LX is designated as the target area, and 13:00 to 13:10 of ** month * day is specified as the target time zone. Further, the determination unit 301 calculates a variance value of the traveling speed based on the traveling speed information included in the vehicle information.

(Step ST202)
When the density of the vehicle information on the link LX is equal to or higher than the threshold value and the variance value is lower than the threshold value, the determination unit 301 determines that it is not necessary to estimate the traffic state (step ST201: NO). In this case, the determination unit 301 instructs the traffic state value calculation unit 302 to calculate the traffic state value of the target area. And the traffic state value calculation part 302 exists in the link LX which is a target area in a target time zone (13: 00-13: 10 of ** month * day) among the vehicle information stored in vehicle information DB33. Based on the vehicle information indicating that the vehicle has been operated, the traffic state of the vehicle in the target area is reproduced, and a traffic state value indicating the traffic state in the predetermined target area in the predetermined target time zone is calculated. Note that to reproduce the traffic state means, for example, obtaining the number and positional relationship of the vehicles 400 existing in the target area, the average speed, the density of the vehicles 400, and the like at each time in the target time zone.

(Step ST203)
On the other hand, when the density of the vehicle information of the link LX is less than the threshold value, or when the density of the vehicle information of the link LX is equal to or greater than the threshold value and the variance value is equal to or greater than the threshold value, the determination unit 301 It is determined that estimation is necessary (step ST201: YES). In this case, the determination unit 301 instructs the traffic state estimation unit 305 to calculate the traffic state value of the target area. Then, the traffic state estimation unit 305 determines the vehicle status (for example, the map position and traveling speed of the traveling vehicle) in the target area estimated in the target time zone based on the estimation information stored in the estimation information DB 34. Information) is estimated, and an estimation result is obtained.
(Step ST204)
Then, the traffic state estimation unit 305 reproduces the traffic state of the vehicle in the target area based on the estimation result obtained in step ST203, and indicates the traffic state value indicating the traffic state in the predetermined target area in the predetermined target time zone. Is calculated.

(Step ST205)
Next, the abnormal vehicle extraction unit 304 is abnormal as a vehicle traveling in the target area based on the traffic state value calculated by the traffic state value calculation unit 302 or the traffic state estimation unit 305. An abnormal vehicle extraction process for extracting a certain vehicle is executed. Details of this processing will be described later with reference to FIG.
(Step ST206)
The abnormal vehicle extraction unit 304 determines whether or not an abnormal vehicle has been extracted in the process of step ST205.

(Step ST207)
When it is determined that an abnormal vehicle has been extracted (step ST206: YES), the abnormal vehicle extraction unit 304 notifies the notification unit 37 that an abnormal vehicle has been extracted.
(Step ST208)
Then, the learning unit 306 learns the estimation information DB 34 according to the processing result by the abnormal vehicle extraction unit 304. More specifically, when an abnormal vehicle is detected in step ST207, the learning unit 306 learns the estimated information in the estimated information DB 34 based on the vehicle information DB 33, except for the vehicle information corresponding to the detected abnormal vehicle. When no abnormal vehicle is detected in step ST207, the learning unit 306 learns the estimated information in the estimated information DB 34 based on the vehicle information DB 33.
(Step ST209)
The abnormal vehicle extraction unit 304 determines whether or not the abnormal vehicle extraction process has been completed for all target areas. If it is determined that the abnormal vehicle extraction process has not been completed for all target areas (step ST209: NO), the abnormal vehicle extraction unit 304 returns to step ST201 and repeats the process. On the other hand, when it is determined that the abnormal vehicle extraction process has been completed for all target areas (step ST209: YES), the abnormal vehicle extraction unit 304 ends the process.

(An example of abnormal vehicle extraction processing)
Next, an example of the abnormal vehicle extraction process will be described with reference to FIG. FIG. 10 is a flowchart for explaining an example of the abnormal vehicle extraction process. Note that the process shown in FIG. 10 corresponds to the process of step ST205 shown in FIG.
(Step ST301)
The abnormal vehicle extraction unit 304 acquires the average speed for each target area as the traffic state value from the traffic state value calculation unit 302 or the traffic state estimation unit 305. The abnormal vehicle extraction unit 304 may acquire the average speed for each target area calculated by the traffic state value calculation unit 302 or the traffic state estimation unit 305, and from the traffic state value calculation unit 302 or the traffic state estimation unit 305. The average speed for each target area may be calculated by itself based on the traffic state value.
(Step ST302)
Next, the abnormal vehicle extraction unit 304 acquires the vehicle density for each target area based on the traffic state value from the traffic state value calculation unit 302 or the traffic state estimation unit 305. The abnormal vehicle extraction unit 304 may acquire the density of the vehicle for each target area calculated by the traffic state value calculation unit 302 or the traffic state estimation unit 305, from the traffic state value calculation unit 302 or the traffic state estimation unit 305. Based on the traffic state value, the vehicle density for each target area may be calculated by itself.

(Step ST303)
The abnormal vehicle extraction unit 304 determines whether the vehicle density calculated in step ST302 is equal to or higher than a predetermined threshold.
(Step ST304)
When it is determined that the density of the vehicle is equal to or higher than the threshold (step ST303: YES), the abnormal vehicle extraction unit 304 sets a predetermined allowable range according to the density of the vehicle. For example, when the density of vehicles is high, the difference in traveling speed between vehicles is small, and when the density of vehicles is low, the difference in traveling speed between vehicles is considered large. Therefore, the allowable range when the vehicle density is 90% or more is ± 5 km / h, the allowable range when the vehicle density is 80% or more and less than 90% is ± 7 km / h,... Suppose that the permissible range is determined to be ± 12 km / h when the ratio is 50% or more and less than 60%. Information indicating the allowable range determined according to the density is stored in a storage unit built in the abnormal vehicle extraction unit 304, although not shown.

(Step ST305)
Next, the abnormal vehicle extraction unit 304 is based on the vehicle information indicating that the vehicle 400 is in the target area in the target time zone among the vehicle information stored in the vehicle information DB 33, and the traveling speed included in the vehicle information is It is determined for each vehicle whether or not it deviates from the average speed in the target area calculated in step ST301. Specifically, the abnormal vehicle extraction unit 304 determines whether or not the traveling speed included in the vehicle information is included in an allowable range based on the average speed in the target area. For example, when the number of average speed in the target area is included in the allowable range, the abnormal vehicle extraction unit 304 includes the traveling speed included in the vehicle information within the allowable range based on the average speed in the target area. It is determined that The abnormal vehicle extraction unit 304 is not limited to this, and when the ratio between the number of the traveling speed included in the vehicle information and the number of the average speed in the target area is included in the predetermined range, the abnormal vehicle extraction unit 304 targets the traveling speed included in the vehicle information. You may determine with it being contained in the tolerance | permissible_range based on the average speed in an area.

(Step ST306)
When it is determined that the travel speed included in the vehicle information is different from the average speed in the target area (step ST305: YES), the abnormal vehicle extraction unit 304 determines that the travel speed included in the vehicle information is within the target area. Vehicles that are not included in the allowable range based on the average speed are extracted as abnormal vehicles.

(Step ST307)
And the abnormal vehicle extraction part 304 carries out the abnormal vehicle extraction process about all the vehicles based on the vehicle information which shows that the vehicle 400 exists in a target area in a target time zone among the vehicle information stored in vehicle information DB33. It is determined whether or not it has been executed. If it is not determined that the abnormal running extraction process has been executed for all the vehicles (step ST307: NO), the abnormal vehicle extraction unit 304 returns to step ST304 and repeats the process. On the other hand, when it is determined that the abnormal traveling extraction process has been executed for all the vehicles (step ST307: YES), the abnormal vehicle extracting unit 304 ends the process.

(Step ST308)
When it is determined in step ST303 that the density of the vehicle is less than the threshold value (step ST303: NO), the abnormal vehicle extraction unit 304 includes the vehicle information stored in the vehicle information DB 33 in the target time zone. Based on the vehicle information indicating that the vehicle 400 is in the target area, the traveling speed between at least two points of the vehicle 400 indicated by the map position included in the vehicle information is calculated. For example, the abnormal vehicle extraction unit 304 generates the map position P1 at the time T1 when the vehicle information S1 is generated and the next vehicle information S2 based on the vehicle information S1 and S2 acquired from the same vehicle-mounted device 100 at different timings. The traveling speed between the two points with the map position P2 at time T2 is calculated according to the following equation (4).
Traveling speed = (distance from P1 to P2) / (time T2−time T1) (4)

(Step ST309)
The abnormal vehicle extraction unit 304 determines whether or not the traveling speed of the vehicle 400 calculated in step ST308 is abnormal. For example, a vehicle traveling on a general road at 200 km / h is abnormal. Abnormal vehicle extraction unit 304 determines that the traveling speed itself is abnormal when the traveling speed of vehicle 400 calculated in step ST308 is equal to or higher than a predetermined abnormal speed (step ST309: YES), and proceeds to step ST311. move on.

(Step ST310)
When the travel speed of the vehicle 400 calculated in step ST308 is less than the predetermined abnormal speed (step ST309: NO), the abnormal vehicle extraction unit 304 determines that the change in the travel speed of the vehicle 400 calculated in step ST308 is abnormal. It is determined whether or not. For example, when the traveling speed after a few seconds changes suddenly or when sudden changes are repeated, the vehicle traveling in this way is abnormal. The abnormal vehicle extraction unit 304 determines whether the variation in the time series of the traveling speed of the vehicle 400 calculated in step ST308 varies in the time series, or the amount of variation in the time series of the traveling speed of the vehicle 400 calculated in step ST308 is in advance. If it is equal to or greater than the predetermined threshold, it is determined that the change in the travel speed in time series is abnormal (step ST310: YES), and the process proceeds to step ST311.

(Step ST311)
304, when it is determined in step ST309 or step ST310 that the vehicle is abnormal (step ST309: YES, step ST310: YES), the abnormal vehicle extraction unit 304 extracts the vehicle determined to be abnormal as an abnormal vehicle. To do.

(Step ST312)
And the abnormal vehicle extraction part 304 carries out the abnormal vehicle extraction process about all the vehicles based on the vehicle information which shows that the vehicle 400 exists in a target area in a target time zone among the vehicle information stored in vehicle information DB33. It is determined whether or not it has been executed. When it is not determined that the abnormal running extraction process has been executed for all the vehicles (step ST312: NO), the abnormal vehicle extraction unit 304 returns to step ST308 and repeats the process. On the other hand, when it is determined that the abnormal traveling extraction process has been executed for all the vehicles (step ST312: YES), the abnormal vehicle extracting unit 304 ends the process.

(In addition, replacement and modification of each component)
In addition, it is possible to appropriately replace the components in the above-described embodiments with known components without departing from the spirit of the present invention. The technical scope of the present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the spirit of the present invention.

  For example, although the abnormal vehicle extraction unit 304 of the abnormal vehicle extraction device 300 has been described as extracting abnormal vehicles based on traffic state values, the present invention is not limited to this. For example, the abnormal vehicle extraction unit 304 may determine whether there is an abnormal vehicle based on the vehicle information of the target area in the target time zone read from the vehicle information DB 33. As described above, the abnormal vehicle extraction unit 304 extracts a vehicle having a traveling speed of 200 km / h as abnormal as a vehicle that travels in the target area. In addition, the abnormal vehicle extraction unit 304 extracts the vehicle 400 as an abnormal vehicle when the change amount in the time series of the traveling speed of the vehicle 400 is equal to or greater than the threshold value or when the change amount varies.

  The billing processing unit 105 is not limited to the one that performs billing fee payment processing on the charge card 500, and may be one that performs billing fee payment processing using a credit card or the like.

  The vehicle-mounted device 100 may be connected to a center server (not shown) that distributes map information, billing condition information, and the like. Thereby, the onboard equipment 100 can specify the map position of the vehicle 400 based on the newest map information, and can include it in vehicle information. Moreover, the onboard equipment 100 can execute a charging process based on the latest charging condition information. Thereby, the reliability of the charging system can be improved.

  The vehicle-mounted device 100 is not limited to including the map position obtained by the map matching processing unit 101 in the vehicle information, but may include the information acquired by the position information acquiring unit 13 as it is in the vehicle information.

  The traffic state value calculation unit 302 and the abnormal vehicle extraction unit 304 may exclude a stopped vehicle. In this case, the vehicle-mounted device 100 includes information indicating whether or not the engine (ignition) of the vehicle 400 is off in the vehicle information and transmits the vehicle information to the abnormal vehicle extraction device 300. The traffic state value calculation unit 302 and the abnormal vehicle extraction unit 304 execute predetermined processing except for vehicle information in which the engine is off.

  Although the charging process has been described with respect to the example executed by the vehicle-mounted device 100, the charging process may be executed by an external server.

  The determination unit 301 is not limited to the example of determining whether to estimate the traffic state based on the density of the vehicle information and the variance value of the travel speed. For example, the determination unit 301 instructs the traffic state value calculation unit 302 to calculate the traffic state value when the density of the vehicle information is greater than or equal to the threshold value, and estimates the traffic state when the density of the vehicle information is less than the threshold value. The unit 305 may be instructed to calculate the traffic state value.

(Action and effect)
As described above, the abnormal vehicle extraction device 300 according to the present embodiment travels within the target area based on the vehicle information indicating the position and the traveling speed of the vehicle-mounted device mounted on the vehicle. An abnormal vehicle extraction unit 304 that extracts an abnormal vehicle as a vehicle is provided.
With this configuration, the abnormal vehicle extraction device 300 can extract an abnormal vehicle in which information acquired by the vehicle-mounted device may be different from the actual vehicle situation. As a result, the vehicle information acquired by the vehicle-mounted device can be tampered with in some way, and it is possible to identify an unauthorized traffic vehicle that is trying to avoid paying the toll even though it is originally traveling on a toll road. System reliability can be improved. Further, it is possible to prevent the generation of traffic information indicating traffic congestion or congestion based on a situation different from the actual travel information.

In addition, the abnormal vehicle extraction device 300 according to the present embodiment is a traffic that indicates a traffic state in a predetermined target area in a predetermined target time zone based on vehicle information indicating the position and traveling speed of the vehicle-mounted device mounted on the vehicle. A traffic state value calculation unit 302 that calculates a state value is provided.
In addition, the abnormal vehicle extraction device 300 according to the present embodiment extracts an abnormal vehicle when the amount of deviation between the speed of the target area and the traveling speed indicated by the actual vehicle information exceeds a predetermined allowable range.
With this configuration, the abnormal vehicle extraction device 300 can detect an abnormal vehicle based on the traffic state. Thereby, even if the running speed of the vehicle itself and the change in running speed are not abnormal, the abnormality of each vehicle 400 can be determined based on the relative relationship with other vehicles running on the same road. it can. Therefore, a vehicle that does not correspond to the traffic state in the target area, that is, a vehicle that is likely to be unable to travel in the target area at a speed corresponding to the traffic state can be extracted as an abnormal vehicle. A vehicle pretending to be traveling in the target area can be extracted.

In addition, the abnormal vehicle extraction device 300 according to the present embodiment has a vehicle density in the target area indicated by the traffic state value higher than the threshold, and the speed and actual vehicle information of the target area indicated by the traffic state value. When the amount of deviation from the travel speed indicated by exceeds the predetermined allowable range, it is extracted as an abnormal vehicle.
With this configuration, the abnormal vehicle is detected based on the traffic state in a state where the density of the vehicle traveling in the target area is higher than the threshold value. In a traffic state where the density of the vehicle is high, a large amount of vehicle information acquired from the vehicle-mounted device can be acquired. Therefore, a traffic state value indicating an average traffic state can be calculated from a plurality of vehicle information. Further, in a traffic state where the density of vehicles is high, it is considered that there is not enough space for traveling at a speed faster than the average speed in the target area because the distance from other vehicles is narrow. For this reason, the speed at which the vehicle can travel in the target area depends on the traffic state and is close to the speed indicated by the traffic state in the target area. Thus, since the abnormal vehicle can be detected based on the traffic state value in a state where the traveling speed of the vehicle traveling in the target area is limited to some extent, the detection accuracy of the abnormal vehicle can be improved.

In addition, the abnormal vehicle extraction device 300 according to the present embodiment calculates the traveling speed of the vehicle 400 based on the position information of at least two points of the vehicle 400 indicated by the vehicle information acquired from the same vehicle-mounted device 100 at different timings. A speed calculation unit 303 is further provided.
With this configuration, the traveling speed of the vehicle can be calculated from the position of the vehicle based on the position of the vehicle included in the vehicle information. When the position of the vehicle included in the vehicle information is falsified, it is highly likely that the traveling speed of the vehicle calculated from the position of the vehicle deviates from the actual traveling speed. Therefore, a vehicle having a high possibility that the position of the vehicle included in the vehicle information is falsified can be extracted as an abnormal vehicle.

In addition, the abnormal vehicle extraction device 300 according to the present embodiment, when the density of the vehicle information in the predetermined target area in the predetermined target time zone is less than the threshold value, in the predetermined target area in the predetermined target time zone A traffic state estimation unit 305 that estimates the traffic state is further provided.
With this configuration, the traffic state estimation unit 305 estimates the traffic state of the predetermined target area at the predetermined target time when the vehicle information in the predetermined target area in the predetermined target time zone is small. Here, when the density of the vehicle information is low, only a small amount of vehicle information can be obtained. Therefore, the traffic state is evaluated based on the biased vehicle information, or the traffic state is accidentally determined according to the state of the vehicle. There is a risk of evaluation. However, when the density of the vehicle information is lower than the threshold value, the traffic state value is estimated based on the estimated traffic state instead of obtaining the traffic state value based on the vehicle information acquired in the target time zone. By calculating the value, an abnormal vehicle can be extracted based on an average traffic state even in a target area where the density of vehicle information is low.

Moreover, the abnormal vehicle extraction device 300 according to the present embodiment further includes a notification unit 37 that notifies the abnormal vehicle.
With this configuration, information on abnormal vehicles is notified to the manager who manages the payment of tolls on toll roads, the supervisor who monitors traffic conditions based on the vehicle information, or the driver of the vehicle determined to be abnormal can do.

In addition, the abnormal vehicle extraction device 300 according to the present embodiment further includes a correction unit 307 that generates information for correcting the charging status of the vehicle that is determined to be abnormal by the abnormal vehicle extraction unit 304.
With this configuration, information for correcting the charging status to be corrected is generated, and processing for correcting the charging status is facilitated.

Moreover, the abnormal vehicle extraction device 300 according to the present embodiment uses the map position included in the vehicle information when calculating the traffic state value.
With this configuration, it is possible to improve the traffic state reproduction accuracy as compared with the case where information indicating latitude and longitude is used as the position information of the vehicle.

  In addition, the program for realizing the functions of the vehicle-mounted device 100 and the abnormal vehicle extraction device 300 in the present invention is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into a computer system and executed. You may perform a process by doing. Here, the “computer system” includes an OS and hardware such as peripheral devices. The “computer system” includes a WWW system having a homepage providing environment (or display environment). The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Further, the “computer-readable recording medium” refers to a volatile memory (RAM) in a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. In addition, those holding programs for a certain period of time are also included.

  The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.

DESCRIPTION OF SYMBOLS 1 Abnormal vehicle extraction system 100 Onboard equipment 200 Roadside device 201 Roadside antenna 300 Abnormal vehicle extraction device 500 Charge card 11 Communication part 12 Clock 13 Position information acquisition part 14 Vehicle state detection part 15 CPU
16 storage unit 17 reader / writer 101 map matching processing unit 102 speed information calculation unit 103 vehicle information generation unit 104 vehicle information output unit 105 charging processing unit 121 map information 122 vehicle information 123 charging condition information 31 communication unit 32 registration unit 33 vehicle information DB
34 Estimated information DB
35 Billing information DB
36 CPU
37 notification unit 301 determination unit 302 traffic state value calculation unit 303 travel speed calculation unit 304 abnormal vehicle extraction unit 305 traffic state estimation unit 306 learning unit 307 correction unit

Claims (11)

A traffic state value for calculating a traffic state value indicating a traffic state in a predetermined target area in a predetermined target time zone based on vehicle information indicating the position and traveling speed of the vehicle acquired from an onboard device mounted on the vehicle. A calculation unit;
Based on the traffic state value calculated by the traffic state value calculation unit and the vehicle information acquired from the vehicle-mounted device of each vehicle, the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area. An abnormal vehicle extraction unit for extracting a vehicle;
Equipped with a,
The abnormal vehicle extraction unit acquires the speed in the target area and the density of vehicles in the target area as the traffic state value calculated by the traffic state value calculation unit, and the vehicle in the target area When the density is higher than the threshold and the amount of deviation between the speed in the target area and the travel speed of the vehicle indicated by the vehicle information exceeds a predetermined allowable range, the travel state of the vehicle is abnormal. determining abnormally vehicle extraction device according to claim Rukoto. A travel speed calculating unit that calculates a travel speed of the vehicle based on position information of at least two points of the vehicle indicated by the vehicle information acquired from the same vehicle-mounted device at different timings;
The abnormal vehicle extraction unit
2. The method according to claim 1 , further comprising: determining whether or not the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area based on the traveling speed calculated by the traveling speed calculation unit. The abnormal vehicle extraction device described. The abnormal vehicle extraction device according to claim 1 , further comprising a notification unit that notifies a vehicle that is determined to be abnormal by the abnormal vehicle extraction unit. The correction part which produces | generates the information for correcting the charging condition about the vehicle which the abnormal vehicle extraction part determined to be abnormal is provided further, The correction part as described in any one of Claim 1 to 3 characterized by the above-mentioned. Abnormal vehicle extraction device. A traffic state value for calculating a traffic state value indicating a traffic state in a predetermined target area in a predetermined target time zone based on vehicle information indicating the position and traveling speed of the vehicle acquired from an onboard device mounted on the vehicle. A calculation unit;
Based on the traffic state value calculated by the traffic state value calculation unit and the vehicle information acquired from the vehicle-mounted device of each vehicle, the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area. An abnormal vehicle extraction unit for extracting a vehicle;
If the density of the vehicle information in a predetermined target area in a predetermined target time period is less than the threshold value, and a traffic state estimation unit that estimates a traffic condition in a predetermined target area in a predetermined target time period ,
The traffic state value calculating unit calculates the traffic state value when the density of the vehicle information is equal to or higher than a threshold value,
The abnormal vehicle extraction unit determines whether or not the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area based on the traffic state estimated by the traffic state estimation unit. An abnormal vehicle extraction device characterized. The abnormal vehicle extraction device according to claim 5 , further comprising a notification unit that notifies a vehicle that is determined to be abnormal by the abnormal vehicle extraction unit. The abnormal vehicle extraction device according to claim 5 , further comprising a correction unit that generates information for correcting a charging status of the vehicle that is determined to be abnormal by the abnormal vehicle extraction unit. . A traffic state value for calculating a traffic state value indicating a traffic state in a predetermined target area in a predetermined target time zone based on vehicle information indicating the position and traveling speed of the vehicle acquired from an onboard device mounted on the vehicle. A calculation step;
Based on the traffic state value calculated in the traffic state value calculating step and the vehicle information acquired from the vehicle-mounted device of each vehicle, the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area. An abnormal vehicle extraction step for extracting a vehicle that is,
Equipped with a,
In the abnormal vehicle extraction step, as the traffic state value calculated in the traffic state value calculating step, a speed in the target area and a density of vehicles in the target area are acquired, and a vehicle in the target area is obtained. If the density of the vehicle is higher than the threshold and the amount of deviation between the speed in the target area and the running speed of the vehicle indicated by the vehicle information exceeds a predetermined allowable range, the running state of the vehicle is abnormal. abnormal vehicle extraction method characterized that you determined. Computer
A traffic state value for calculating a traffic state value indicating a traffic state in a predetermined target area in a predetermined target time zone based on vehicle information indicating the position and traveling speed of the vehicle acquired from an onboard device mounted on the vehicle. Calculation means,
Based on the traffic state value calculated by the traffic state value calculation means and the vehicle information acquired from the vehicle-mounted device of each vehicle, the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area. Abnormal vehicle extraction means for extracting a certain vehicle;
A program that functions as
The abnormal vehicle extraction unit acquires the speed in the target area and the density of vehicles in the target area as the traffic state value calculated by the traffic state value calculation unit, and the vehicle in the target area When the density is higher than the threshold and the amount of deviation between the speed in the target area and the travel speed of the vehicle indicated by the vehicle information exceeds a predetermined allowable range, the travel state of the vehicle is abnormal. A program to judge . A traffic state value for calculating a traffic state value indicating a traffic state in a predetermined target area in a predetermined target time zone based on vehicle information indicating the position and traveling speed of the vehicle acquired from an onboard device mounted on the vehicle. A calculation step;
Based on the traffic state value calculated in the traffic state value calculating step and the vehicle information acquired from the vehicle-mounted device of each vehicle, the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area. An abnormal vehicle extraction step for extracting a vehicle that is,
A traffic state estimation step for estimating a traffic state in the predetermined target area in the predetermined target time zone when the density of the vehicle information in the predetermined target area in the predetermined target time zone is less than a threshold value. ,
In the traffic state value calculating step, when the density of the vehicle information is equal to or higher than a threshold, the traffic state value is calculated,
In the abnormality vehicle extraction step, based on traffic conditions estimated by the traffic condition estimation step, the running state of the vehicle indicated by the vehicle information is you determine whether abnormalities as vehicle traveling the target area The abnormal vehicle extraction method characterized by the above-mentioned. Computer
A traffic state value for calculating a traffic state value indicating a traffic state in a predetermined target area in a predetermined target time zone based on vehicle information indicating the position and traveling speed of the vehicle acquired from an onboard device mounted on the vehicle. Calculation means,
Based on the traffic state value calculated by the traffic state value calculation means and the vehicle information acquired from the vehicle-mounted device of each vehicle, the traveling state of the vehicle indicated by the vehicle information is abnormal as a vehicle traveling in the target area. Abnormal vehicle extraction means for extracting a certain vehicle;
A traffic state estimating means for estimating a traffic state in a predetermined target area in a predetermined target time zone when the density of the vehicle information in the predetermined target area in a predetermined target time zone is less than a threshold;
A program that functions as
The traffic state value calculating means calculates the traffic state value when the density of the vehicle information is equal to or higher than a threshold;
The abnormal vehicle extraction unit is a program for determining whether or not the vehicle traveling state indicated by the vehicle information is abnormal as a vehicle traveling in the target area based on the traffic state estimated by the traffic state estimating unit .

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